Top 45
Prep plan
Updated weekly · Last refresh Sep 22

Chewy Data Scientist Interview Questions

The questions to prepare for a Chewy Data Scientist interview. Questions from real interview reports rank first. Updated daily.

45questions
~7htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~71 min
2
Statistics & Probability3 questions · ~26 min
Handle MulticollinearityHard

Diagnose multicollinearity in regression and choose between feature removal, transformation, dimensionality reduction, and regularization.

RegressionCorrelationlinear algebraChewy
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3
A/B Testing & Experimentation8 questions · ~70 min
Choosing Randomization Unit for UI TestMedium

Choose the right randomization unit for a customer-facing experiment and explain how that choice affects metrics, power, and validity.

ExperimentationGuardrail MetricsA/B TestingChewy
Test Retention Lift from New FeatureHard

Design an experiment to determine whether a new product feature causes a meaningful retention lift without harming key guardrail metrics.

ExperimentationGuardrail MetricsA/B TestingChewy
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4
Machine Learning9 questions · ~78 min
Predict Customer ChurnMedium

Build a churn model that flags at-risk customers early using behavioral, billing, and support signals.

Feature EngineeringModel EvaluationSupervised LearningChewy
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5
Metrics5 questions · ~44 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisChewy
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6
Behavioral & Leadership11 questions · ~96 min
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7
More topics2 questions · ~17 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionChewy
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The finish line: interview-readyComplete all 45 questions plus 1 hands-on drill to finish this plan.